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AT&T Rhetoric | T-Mobile Layoffs: Hindsight-Absent Forward Thinking

Industry News for Broadband-Mobile-Cable-Wireless and Telecom sectors

Industry News for Broadband-Mobile-Cable-Wireless-Telecom Both AT&T and T-Mobile seem to be stuck in hindsight, absent of forward thinking, in the post-merger breakup era. AT&T continues to slam regulators in a gotcha blitz of media rhetoric, reminding the FCC had the deal gone through the recently announced lay-offs by T-Mobile would have never...

Industry News for Broadband-Mobile-Cable-Wireless and Telecom sectors Providing trends, insights, and analysis for the Broadband Convergent Market


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More Stories By Leonard Grace

Leonard Grace is the founder of Broadband Convergent, an industry leader tech news and analysis for Broadband, Cable, Mobile, Wireless, and Telecom markets providing strategic direction, business trending, sprinkled with lots of opinion. Technology executives must focus on key business indicators with fast, effective and researched analytics to provide leading edge decisions that propel their organizations ahead of the competition. Broadband Convergent researches the latest trends, strategy, and analysis to deliver the results executives and managers depend on to make strategic business decisions. Whether it is (to-market-strategy), the latest competitive advantage, leading edge technology or legislative updates; Broadband Convergent is on top of intelligence gathering and reporting to make industry leaders comfortable with making decisions based on our findings. Our company is a leader in providing fast, efficient, and economical insights into competitive markets, business strategies, market trends and the future outlook of the legislative landscape. Leonard has produced 250+ highly researched articles providing a unique perspective on current Broadband issues including Cable, Mobile, Wireless and Telecom sectors. His insights dig down to find the why’s and why-not’s of industry decisions and how those effect the commerce of broadband.

IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...